Evidence map›Paper›PMID 42186724›Full record

ArticleGlobal health action2026

Integrating GIS and local knowledge for optimised medical supply prepositioning in flood-prone Nigeria: a strategic framework.

Maria Massironi, Modupe Jimoh, Jeremiah Ogah, Olatunji Matthew Kolawole, Martin Bounds

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Article in Global health action, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Maria MassironiHumanitarian Engineering, School of Engineering, University of Warwick, Coventry, UK.ORCID 0009-0001-7579-2693
Modupe JimohHumanitarian Engineering, School of Engineering, University of Warwick, Coventry, UK.ORCID 0000-0001-9667-5288
Jeremiah OgahInfectious Disease and Environmental Health Research Group, Department of Microbiology, Faculty of Life Sciences, University of Ilorin, Ilorin, Nigeria.
Olatunji Matthew KolawoleHumanitarian Engineering, School of Engineering, University of Warwick, Coventry, UK.ORCID 0000-0003-1914-6766
Martin BoundsHumanitarian Engineering, School of Engineering, University of Warwick, Coventry, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNigeria faces recurring flood disasters that severely disrupt its healthcare systems and delays medical relief efforts. Current medical supply prepositioning by the National Emergency Management Agency (NEMA) remains inadequate due to infrastructure limitations, funding constraints, and poor coordination.

objectiveTo develop and validate a Strategic Medical Hub Locator Framework that integrates Geographic Information Systems (GIS) analysis with qualitative local knowledge to optimise medical supply prepositioning for flood emergencies in Nigeria.

methodsWe employed a mixed-methods approach, combining qualitative analysis of 22 GIS-based flood risk studies in Nigeria and structured expert survey responses from 34 professionals with flood response experience, including five with direct NEMA warehouse experience. The framework was grounded in Disaster Risk Reduction theory and supported by Protection Motivation Theory and Theory of Planned Behaviour.

resultsThe framework identified eight strategic medical hub locations: six existing NEMA warehouses (Abuja, Lagos, Kano, Gombe, Maiduguri, Kaduna) with the strongest performance, and two new strategic sites (Akure and Uyo) to address service gaps in South-South and South-East regions. Abuja emerged as the highest-performing hub with a composite score reflecting good centrality, governance capacity, and operational readiness. The framework successfully bridged data silos between spatial flood risk patterns and operational constraints.

conclusionsIntegration of GIS thematic analysis with qualitative local data provides a viable, replicable method for enhancing humanitarian medical logistics in flood-prone regions. The Strategic Medical Hub Locator Framework offers a structured decision-support tool that can inform evidence-based investment in Nigeria's disaster health infrastructure, while being adaptable to other Global South contexts.

Indexed as

Disaster PlanningFloodsGeographic Information SystemsDisastersHumansNigeriaemergenciesFlood preparednessHub Locatormedical supply chainsNigeria

Identifiers

PMID42186724
PMCPMC13215400

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